Stat 465 Experimental Design: Theory and Methods

A theoretical and applied treatment of experimental design; analysis of variance, fixed effect models, random effects models, checking model adequacy; block designs, Latin squares, related designs; incomplete designs; factorial designs, confounding two-level designs, split-plot designs; fractional factorial designs; nested designs; relation to regression analysis; analysis of covariance. All sections will illustrate real world applications with computer usage. This is the first course in a sequence of two: Stat 465 and Stat 466.

Credits

3

Slash Listed Courses

Also offered for graduate-level credit as Stat 565 and may be taken only once for credit.

Prerequisite

Stat 464/564.